Senior Data Science Manager, Algorithms

Robinhood

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Menlo Park, CA
Salary
$247,000–$290,000 / yr
Posted
58 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $268k
$135k $307k
below market most similar roles pay here above market

This role pays more than 93% of similar roles. Most pay $165,000–$233,062 — the blue band above. At the midpoint, this role pays about $268k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 53 open roles on FindRole.

Listed pay typically runs $196,000–$230,000 across 46 roles with salary data.

Most-posted roles

View all roles at Robinhood

At a glance

TL;DR · Senior Data Science Manager, Algorithms

The Senior Data Science Manager, Algorithms will join the Crypto Data Science team to lead, mentor, and scale a team of data scientists and analytics engineers. This role involves partnering with product, engineering, finance, and research teams to drive key initiatives including international expansion, pro trader growth, and Wallet app adoption. The manager will deliver data-driven recommendations and analyses to shape the product roadmap, specifically focusing on stock tokens, perpetuals, and blockchain opportunities. The successful candidate must possess deep experience with Python and SQL in production or analytics environments. They must demonstrate a strong understanding of the crypto ecosystem and have a track record of delivering scalable solutions in product data science roles to solve complex financial data problems.

What does a Data Science Manager earn?

Median $211200 from 40 postings across 10 companies.

See salary data

What you'll do

  • Lead, mentor, and scale a team of data scientists and analytics engineers across product and ML domains.
  • Partner with product, engineering, finance, and research teams to drive international expansion and pro trader growth.
  • Deliver data-driven recommendations and analyses to shape product direction for stock tokens, perpetuals, and blockchain opportunities.
  • Represent the Crypto Data Science team in cross-functional leadership forums to contribute to overall organizational strategy.
  • Set clear goals and provide real-time feedback to drive high performance and innovation within the team.
  • Hire and retain top talent by setting a high bar and investing in comprehensive onboarding.
  • Foster a culture of excellence in analytics, experimentation, and measurable impact.

What we're looking for

  • 7+ years of experience in data science.
  • At least 2+ years of experience in people management.
  • Deep experience with Python and SQL in a production or analytics environment.
  • Proven success in product data science roles delivering strategic insights and scalable solutions.
  • Strong understanding of the crypto ecosystem, with 3–4 years of direct experience (preferred).
  • Executive presence, influence across teams, and outstanding communication skills.
  • Ability to work in-person at the Menlo Park, CA office at least 5 days per week.

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